Efficient graphic processing unit implementation of the chemical-potential multiphase lattice Boltzmann method
Efficient graphic processing unit implementation of the chemical-potential multiphase lattice Boltzmann method
复制标题
化学势多相晶格玻尔兹曼方法的高效图形处理单元实现
DOI:
10.1177/1094342020968272
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发表时间:
2020-10
影响因子:
3.1
通讯作者:
Binghai Wen
中科院分区:
文献类型:
--
作者:
Yutong Ye;Hongyin Zhu;Chaoying Zhang;Binghai Wen
The chemical-potential multiphase lattice Boltzmann method (CP-LBM) has the advantages of satisfying the thermodynamic consistency and Galilean invariance, and it realizes a very large density ratio and easily expresses the surface wettability. Compared with the traditional central difference scheme, the CP-LBM uses the Thomas algorithm to calculate the differences in the multiphase simulations, which significantly improves the calculation accuracy but increases the calculation complexity. In this study, we designed and implemented a parallel algorithm for the chemical-potential model on a graphic processing unit (GPU). Several strategies were used to optimize the GPU algorithm, such as coalesced access, instruction throughput, thread organization, memory access, and loop unrolling. Compared with dual-Xeon 5117 CPU server, our methods achieved 95 times speedup on an NVIDIA RTX 2080Ti GPU and 106 times speedup on an NVIDIA Tesla P100 GPU. When the algorithm was extended to the environment with dual NVIDIA Tesla P100 GPUs, 189 times speedup was achieved and the workload of each GPU reached 96%.
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DOI:
10.1109/cluster.2018.00047
发表时间:
2018-08
期刊:
2018 IEEE International Conference on Cluster Computing (CLUSTER)
影响因子:
--
作者:
Rohan Garg;Apoorve Mohan;Michael B. Sullivan;G. Cooperman
通讯作者:
Rohan Garg;Apoorve Mohan;Michael B. Sullivan;G. Cooperman
DOI:
10.1109/hpec.2014.7040988
发表时间:
2014-09
期刊:
... IEEE conference on high performance extreme computing. IEEE Conference on High Performance Extreme Computing
影响因子:
--
作者:
Landaverde R;Zhang T;Coskun AK;Herbordt M
通讯作者:
Herbordt M
影响因子:
1.4
作者:
Changsheng Huang;B. Shi;N. He;Z. Chai
通讯作者:
Changsheng Huang;B. Shi;N. He;Z. Chai
影响因子:
3.6
作者:
Nickolls, John;Dally, William J.
通讯作者:
Dally, William J.
影响因子:
2.4
作者:
Wen Binghai;Zhou Xuan;He Bing;Zhang Chaoying;Fang Haiping
通讯作者:
Fang Haiping